Pathology9 [1]}: Binary classification labels for pathology presence from MIMIC-CXR-JPG[2]}, which applied the CheXpert NLP model [3]} to label 247,389 images in the MIMIC-CXR v2.0 dataset using their accompanying reports. We adhere to the official data split as used in Liao et al. [1]} and train models to classify each pathology individually as positive/negative.
